Triple

T5581796
Position Surface form Disambiguated ID Type / Status
Subject Volksmarine E146656 entity
Predicate notableBase P7127 FINISHED
Object Dranske
Dranske is a small coastal municipality on the island of Rügen in Mecklenburg-Vorpommern, Germany, historically known for its strategic military and naval facilities.
 E529360 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dranske | Statement: [Volksmarine, notableBase, Dranske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dranske
Context triple: [Volksmarine, notableBase, Dranske]
  • A. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • B. Nydri
    Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
  • C. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • D. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • E. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dranske
Triple: [Volksmarine, notableBase, Dranske]
Generated description
Dranske is a small coastal municipality on the island of Rügen in Mecklenburg-Vorpommern, Germany, historically known for its strategic military and naval facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dranske
Target entity description: Dranske is a small coastal municipality on the island of Rügen in Mecklenburg-Vorpommern, Germany, historically known for its strategic military and naval facilities.
  • A. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • B. Nydri
    Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
  • C. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • D. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • E. Susak
    Susak is a small, sandy Croatian island in the Adriatic Sea known for its unique geology, distinct local dialect, and traditional folk costumes.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0285e7bc08190bd5a08c50679e9d9 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c037fca93881908d4d7403bfb1f866 completed March 22, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69c03898327c8190bd3b889bd7663003 completed March 22, 2026, 6:44 p.m.
Created at: March 22, 2026, 3:37 p.m.